We use an asset market model based on Diamond (1985) to demonstrate that increased central bank transparency may lead to crowding out of costly private information, which can result in a market that is less able to predict monetary policy. Consequently, for intermediate levels of public information precision, it is optimal for the central bank to actually disclose less than it knows. We show that such crowding out can occur, even in the likely scenario that public information is more precise than private information, under the plausible assumption that traders are nearly risk neutral. Central banks should be aware of possible adverse effects of transparency and take note if market participants reduce investment in information.JEL codes: E43, E52, G14 Keywords: monetary policy, communication, transparency, information and financial market efficiency, information acquisition. BERNANKE (2004) STATES THAT "clear communication helps to increase the near-term predictability of [central bank] rate decisions, which reduces risk and volatility in financial markets and allows for smoother adjustment of the economy to rate changes." This statement is generally supported by empirical research on the impact of communication on the predictability of monetary policy. We, however, tell a cautionary tale of the potential adverse effects of central bank communication. We follow Diamond (1985) and use a rational expectations asset market model with a public signal and costly private information acquisition. An increasingly precise public signal is found to improve predictability only as long as it
Over the last two decades, the Federal Open Market Committee (FOMC), the rate-setting body of the United States Federal Reserve System, has become increasingly communicative and transparent. According to policymakers, one of the goals of this shift has been to improve monetary policy predictability. Previous academic research has found that the FOMC has indeed become more predictable. Here, I contribute to the literature in two ways. First, instead of simply looking at predictability before and after the Fed's communication reforms in the 1990s, I identify three distinct periods of reform and measure their separate contributions. Second, I correct the interest rate forecasts embedded in fed funds futures contracts for risk premiums, in order to obtain a less biased measure of predictability. My results suggest that the communication reforms of the early 1990s and the "guidance" provided from 2003 significantly improved predictability, while the release of the FOMC's policy bias in 1999 had no measurable impact. Finally, I find that FOMC speeches and testimonies significantly lower short-term forecasting errors.
Central banks worldwide have become more transparent. An important reason is that democratic societies expect more openness from public institutions. Policymakers also see transparency as a way to improve the predictability of monetary policy, thereby lowering interest rate volatility and contributing to economic stability. Most empirical studies support this view. However, there are three reasons why more research is needed. First, some (mostly theoretical) work suggests that transparency has an adverse effect on predictability. Second, empirical studies have mostly focused on average predictability before and after specific reforms in a small set of advanced economies. Third, less is known about the effect on interest rate volatility. To extend the literature, I use the Dincer and Eichengreen (2007) transparency index for twenty-four economies of varying income and examine the impact of transparency on both predictability and market volatility. I find that higher transparency improves the accuracy of interest rate forecasts for three months ahead and reduces rate volatility.
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